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Windstorms, wildfires and insect outbreaks are among the most frequent natural disturbances occurring in Mediterranean mountain areas, affecting European forests in many aspects. In this regard, local stakeholders are now facing critical situations, especially about the adoption of efficient silvicultural management of forest stands affected by similar issues. The storm Vaia occurred in 2018 in northeastern Italy created an extraordinary scenario for the Italian Alps, where bark beetles proliferated from the downed logs to the neighboring standing forest. The development of remote sensing techniques such as Light Detection and Ranging (LiDAR) together with mathematical models, allowed scientists to create detailed terrain reconstruction and accurately estimate forest attributes, to simulate wildfire behaviour over disturbed forests. In this regard, the analysis of wildfire factors such as rate of spread, flame length and fireline intensity is useful in estimating the spatial dynamics of wildfires, even in areas affected by bark beetle outbreak. In this regard, new methods able to overcome limits in forest fire simulations (especially concerning accurate estimation of fuel properties and mapping of fire behaviour within disturbed forested areas) are nowadays needed. This research aims therefore to investigate the interaction between bark beetle disturbance and wildland fire dynamics in a forested catchment of Italian Alps. Field data collection were coupled with the FlamMap fire behaviour model based on high-resolution LiDAR data analysis. Wildfire attributes were estimated and compared by looking at the absence (pre-beetle scenario) and the presence (post-beetle scenario) of bark beetles damages, and alterations in wildfire properties were correlated with the presence of trees affected by bark beetle outbreak. Results could enrich the information available for local stakeholders involved in the management of forest stands, to consider effective interventions for forested areas affected by similar natural disturbances over time.

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Integrating LiDAR Data and Semi-empirical Fire Model in Mapping the Interaction Between Wildfire and Bark Beetle Outbreak

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年

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  • Luca Mauri,
  • Flavio Taccaliti,
  • Emanuele Lingua

摘要

Windstorms, wildfires and insect outbreaks are among the most frequent natural disturbances occurring in Mediterranean mountain areas, affecting European forests in many aspects. In this regard, local stakeholders are now facing critical situations, especially about the adoption of efficient silvicultural management of forest stands affected by similar issues. The storm Vaia occurred in 2018 in northeastern Italy created an extraordinary scenario for the Italian Alps, where bark beetles proliferated from the downed logs to the neighboring standing forest. The development of remote sensing techniques such as Light Detection and Ranging (LiDAR) together with mathematical models, allowed scientists to create detailed terrain reconstruction and accurately estimate forest attributes, to simulate wildfire behaviour over disturbed forests. In this regard, the analysis of wildfire factors such as rate of spread, flame length and fireline intensity is useful in estimating the spatial dynamics of wildfires, even in areas affected by bark beetle outbreak. In this regard, new methods able to overcome limits in forest fire simulations (especially concerning accurate estimation of fuel properties and mapping of fire behaviour within disturbed forested areas) are nowadays needed. This research aims therefore to investigate the interaction between bark beetle disturbance and wildland fire dynamics in a forested catchment of Italian Alps. Field data collection were coupled with the FlamMap fire behaviour model based on high-resolution LiDAR data analysis. Wildfire attributes were estimated and compared by looking at the absence (pre-beetle scenario) and the presence (post-beetle scenario) of bark beetles damages, and alterations in wildfire properties were correlated with the presence of trees affected by bark beetle outbreak. Results could enrich the information available for local stakeholders involved in the management of forest stands, to consider effective interventions for forested areas affected by similar natural disturbances over time.